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ADAPTIVE SUB-BAND ACOUSTIC ECHO CANCELLATION ALGORITHMS FOR ECHO PATHS INVOLVING NONLINEAR AMPLIFIERS AND TRANSDUCERS

机译:涉及非线性放大器和传感器的回声路径的自适应子带声回声消除算法

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摘要

This paper examines the normalized least-mean-squares (NLMS) algorithm, the proportionate normalized least-mean-squares (PNLMS) algorithm, and the affine projection algorithm (APA) applied to the linear and nonlinear sub-band acoustic echo canceller (AEC). The AEC aims at reducing the acoustic echo generated from a loudspeaker-enclosure-microphone (LEM) system. In order to enhance the efficacy of echo cancellation, the AEC utilizes sub-band structure in conjunction with the PNLMS algorithm and the APA. To cope with nonlinear distortions from low-cost transducers, the AEC is augmented with nonlinear processors based on second-order Volterra filters and a Hammerstein nonlinear model. The proposed AEC was verified through extensive simulations and experiments. The results have shown that the proposed system achieved improved echo cancellation performance over conventional systems and met the telecom standard ITU-T Rec. G.168.
机译:本文研究了应用于线性和非线性子带声回波消除器(AEC)的归一化最小均方(NLMS)算法,比例归一化最小均方(PNLMS)算法以及仿射投影算法(APA) )。 AEC旨在减少从扬声器外壳麦克风(LEM)系统产生的回声。为了提高回声消除的效率,AEC将子带结构与PNLMS算法和APA结合使用。为了应对低成本传感器的非线性失真,AEC增强了基于二阶Volterra滤波器和Hammerstein非线性模型的非线性处理器。通过广泛的仿真和实验验证了提出的AEC。结果表明,所提出的系统比传统系统具有更高的回声消除性能,并且符合电信标准ITU-T Rec。 G.168。

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